Website GC2 Resources
GC2 Resources
Company : GC2 Resources
Brief Description:
The Company's Data Science team brings together talented, driven professionals who turn complex operational data into clear insights and empower our organization to make smarter, data-backed decisions every day. We partner with Operations, Reservoir Engineering, Supply Chain and Sales to develop dashboards, forecasts and analytics that optimize our operations.
Detailed Description:
In this role you will design and build scalable data-driven pipelines, develop interactive dashboards, apply statistical techniques and basic machine-learning methods to surface insights, and translate your analyses into recommendations that drive operational efficiency and business planning.
Key Responsibilities:
- Define and evolve the BI strategy, identifying high-value analytics use cases across Completions, Reservoir, Supply Chain and Sales
- Architect, implement and maintain cloud-native analytics pipelines using Python, SQL and orchestration tools
- Build and optimize interactive dashboards in Tableau or other BI tools with filters, alerts and scheduled updates
- Apply time-series forecasting, clustering and regression analyses to supplement dashboards with proactive insights
- Partner with stakeholders from Operations, Reservoir Engineering, Supply Chain and Sales to gather requirements and deliver analytics solutions
- Mentor data analysts through code reviews, best-practice sharing and hands-on coaching
- Enforce standards for code quality, version control and documentation across the analytics team
- Present findings in concise slide decks and written reports for both technical and non-technical audiences
Job Requirements:
- Prior experience in completions or oil and gas data analytics
- Proven track record leading and mentoring analytics teams or projects
- Expert programming skills in Python (Pandas, NumPy) and SQL for data manipulation
- Hands-on experience building dashboards and reports in Tableau or other BI tools
- Strong communication skills with the ability to translate technical analyses into clear recommendations
- Ability to manage multiple priorities and deliver results on time
Minimum Qualifications:
- Bachelor's degree in Data Science, Engineering, Computer Science, Statistics or related field
- 5+ years of experience applying data science techniques in industrial settings
- 3+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)
- 3+ years developing BI solutions in Tableau or Power BI
Preferred Qualifications:
- Master's degree or higher in a quantitative discipline
- Experience with cloud data warehouses such as BigQuery, AlloyDB
- Prior domain knowledge of hydraulic fracturing or completions operations